Uganda Roads

Vector Map

Photo by Melissa Askew on Unsplash

Life is a journey that must be traveled no matter how bad the roads and accommodations…
— Oliver Goldsmith

Ingest

admin level borders

Administrative boundaries at levels adm0, adm1, adm2, and road lines

# Load map sources
# ++++++++++++++++++++
# using the same map sources up to adm2 which contains info of area of district in each region in Uganda
adm0 <- st_read("archetypes/uganda/uganda-adm0.geojson")

## Reading layer `uganda-adm0' from data source 
##   `C:\Users\jaybe\Desktop\kamino-public\kamino-source\sources\10-maps\1-map-making\4-vector\archetypes\uganda\uganda-adm0.geojson' 
##   using driver `GeoJSON'
## Simple feature collection with 1 feature and 10 fields
## Geometry type: MULTIPOLYGON
## Dimension:     XY
## Bounding box:  xmin: 29.57216 ymin: -1.481474 xmax: 35.00105 ymax: 4.231367
## Geodetic CRS:  WGS 84

adm1 <- st_read("archetypes/uganda/uganda-adm1.geojson")

## Reading layer `uganda-adm1' from data source 
##   `C:\Users\jaybe\Desktop\kamino-public\kamino-source\sources\10-maps\1-map-making\4-vector\archetypes\uganda\uganda-adm1.geojson' 
##   using driver `GeoJSON'
## Simple feature collection with 4 features and 12 fields
## Geometry type: MULTIPOLYGON
## Dimension:     XY
## Bounding box:  xmin: 29.57216 ymin: -1.481474 xmax: 35.00105 ymax: 4.231367
## Geodetic CRS:  WGS 84

adm2 <- st_read("archetypes/uganda/uganda-adm2.geojson")

## Reading layer `uganda-adm2' from data source 
##   `C:\Users\jaybe\Desktop\kamino-public\kamino-source\sources\10-maps\1-map-making\4-vector\archetypes\uganda\uganda-adm2.geojson' 
##   using driver `GeoJSON'
## Simple feature collection with 135 features and 14 fields
## Geometry type: MULTIPOLYGON
## Dimension:     XY
## Bounding box:  xmin: 29.57216 ymin: -1.481474 xmax: 35.00105 ymax: 4.231367
## Geodetic CRS:  WGS 84

head(as.data.frame(adm0))

head(as.data.frame(adm1))

head(as.data.frame(adm2))

Ingest

road-line geometry

df_road_lines <- st_read("archetypes/uganda/unra_road_network.geojson")

## Reading layer `UNRA_road_network' from data source 
##   `C:\Users\jaybe\Desktop\kamino-public\kamino-source\sources\10-maps\1-map-making\4-vector\archetypes\uganda\unra_road_network.geojson' 
##   using driver `GeoJSON'
## Simple feature collection with 890 features and 11 fields (with 6 geometries empty)
## Geometry type: MULTILINESTRING
## Dimension:     XY, XYZ
## Bounding box:  xmin: 3293167 ymin: -163664.7 xmax: 3896404 ymax: 423995
## z_range:       zmin: 0 zmax: 2453.817
## Projected CRS: WGS 84 / Pseudo-Mercator

head(as.data.frame(df_road_lines))

Plot the boundaries of the map

Use geom_sf on adm0, adm1, and adm2 border lines

theme_opts <- theme(
  legend.position = "none",
  legend.title = element_blank(),
  axis.text = element_blank(),
  axis.line = element_blank(),
  axis.ticks = element_blank(),
  axis.title = element_blank(),
  panel.grid = element_blank(),
  panel.grid.major = element_blank(),
  panel.grid.minor = element_blank(),
  # panel.background = element_blank(),
  panel.background = element_rect(fill = "#ffffff"),
  panel.border = element_blank(),
  # plot.background = element_blank(),
  plot.background = element_rect(fill = "#ffffff")
)

transparent_fill <- rgb(0, 0, 0, max = 255, alpha = 0, names = "transparent")

# In order of layer placement top -> down
# using adm0 map sources which contains info of area of the country
v1 <- ggplot() +
  geom_sf(data = adm0, color="#333333", fill = transparent_fill, size=2.0) +
  geom_sf(data = adm1, color="#333333", fill = transparent_fill, size=1.5) +
  geom_sf(data = adm2, color="#333333", fill = transparent_fill, size=1.0) +
  scale_x_continuous() +
  scale_y_continuous() +
  coord_sf() +
  theme_bw() +
  labs(x = NULL, # Longitude
      y = NULL, # Latitude
      title = NULL, 
      subtitle = NULL) +
  theme_opts

girafe(ggobj = v1, width_svg = 16, height_svg = 9,
       options = list(opts_sizing(rescale = TRUE, width = 1.0)))

Plot the road lines within the base-vector map

Use geom_sf on the road-lines data

v2 <- v1 + geom_sf( data = df_road_lines, color = "#c77307", size = 0.5 )

girafe(ggobj = v2, width_svg = 16, height_svg = 9,
       options = list(opts_sizing(rescale = TRUE, width = 1.0)))

References

citations for narrative and data sources

Narrative and Data sources: HDX, GO